khalid OURO-ADOYI

• Designed and optimized environmental databases covering energy, emissions, air quality, and mobility data.

• Built and automated data pipelines for data ingestion, transformation, quality checks, and delivery.

• Integrated data from multiple sources to support environmental and territorial projects.

• Implemented data quality and validation processes to improve data reliability.

• Produced a

• Collected, cleaned, transformed, and analyzed housing and real-estate data to support territorial planning and decision-making.

• Designed interactive dashboards and reporting solutions using Excel and Tableau.

• Developed statistical and machine learning models to identify trends and support strategic planning.

• Translated business and operational requirements into data analyses, KPIs, and

• Collected, cleaned, and analyzed financial and customer data to monitor banking activity and business performance.

• Designed and maintained management dashboards covering commercial performance, portfolio quality, risk, and operational indicators.

• Conducted statistical analyses to identify customer behavior patterns, trends, and risk factors.

• Produced analytical reports and insights to s

• Conducting statistical analyses and preparing reports.

• Creating dashboards in Excel.

• Helping to monitor performance metrics.

• Assisting with the automation of data processing.

• Design and automation of data pipelines;

• Implementation of workflows and scheduling systems;

• Testing, quality control, and validation of pipelines;

• Modeling and administration of SQL and NoSQL databases;

• Implementation of integration and transformation tools;

• Design of data management architectures;

• Deployment of data infrastructure in cloud environments.

Issued Mar 2026

Issued Jun 2026

Issued Jul 2026

Issued Mar 2026

Issued Dec 2025

Issued Mar 2025

Issued May 2025

Issued Jun 2025

Issued Jul 2025

Issued Aug 2025

• Statistics & Modeling
Mathematical foundations of data science, descriptive and inferential statistics, statistical tests (JASP, Python), modeling, and regression.

• Machine Learning & AI
Supervised and unsupervised machine learning, object-oriented programming in Python, application deployment (Streamlit), introduction to blockchain.

• Databases & Big Data
NoSQL (MongoDB), Hadoop & Spark,

• Quantitative & Technical Skills
Mathematical analysis, linear algebra, probability, differential equations, descriptive and inferential statistics, time series analysis, operations research, econometrics.
National accounts and current account accounting.
Tools: Excel, Python, R, EViews, Stata, SAS, SQL.

• Applied Economics
Macroeconomics (principles and models), microeconomics (game theory),

Issued Nov 2024

Issued Jun 2022